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KEYNOTE LECTURES

Keynote speakers have been invited to give lecture talks in Plenary Sessions:

• Remì Abgrall - University of Zurich, Switzerland

• Zhiming Chen, Academy of Sciences, China

• Roberto Natalini, IAC-CNR, Italy

• Michele Piana - Universita' di Genova, Italy

• Antonello Provenzale - Istituto di Geoscienze e Georisorse, CNR, Pisa, Italy

• Andrea Tosin - Politecnico di Torino Italy

• Jessica Zhang - Carnegie Mellon University, USA

• Rosa Maria Spitaleri, IAC-CNR, Rome

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Peer Reviewed

GENERAL PAPERS

GEN (General Papers) Sessions host presentations by author(s) who illustrate self-contained (out of special sessions or minisymposia) topics of research. These contributions could be included into the peer evaluation process for the full papers publication call.

• Rosa Maria Spitaleri, IAC-CNR, Rome

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Peer Reviewed

POSTER PAPERS

POP (Poster of Papers) Session(s) host presentations by author(s) who illustrate self-contained (out of special sessions or minisymposia) topics of research by posters. These contributions could be included into the peer evaluation process for the full papers publication call.

• Rosa Maria Spitaleri, IAC-CNR, Rome

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Peer Reviewed

Mathematical and Computational Methods for Migration, Aggregation and Interaction of Cell Populations

In recent years an increasing interest is registered in the field of modelling complex biological systems and developing techniques to combine experimental data and mathematical models, in order to develop in silico models that are able to reproduce and predict experimental outcomes. Indeed, the success of informed models is mainly due to the consistent improvements in computational abilities and in imaging techniques that allow a wider access to high spatial and temporal resolution data.
In this framework, mathematical models and simulations describing the dynamics of cell populations in different applications (such as wound healing, organs-on-chip, tumor growth) with different approaches are presented.

• Gabriella Bretti, CNR
• Marta Menci, Università Campus Bio-Medico di Roma

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Peer Reviewed

Multivariate Approximation: Numerical Methods and Applications

Approximation is a well-studied mathematical topic, both from analytical and numerical points of view. Many problems of computational science, statistics, and probability require linear or nonlinea approximation, integration, or optimization of functions of many variables.
Tensor networks, neural networks, and deep neural networks are the new tools for approximation especially in high-dimensional spaces. In a nutshell, the aim of approximation is to replace a target function, with a simpler one easy to evaluate and work with. Classical and modern approaches to this field cover various interesting techniques for multidimensional data and big data, information, signals, images, and so on.

The aim of this mini-symposium is to discuss both numerical aspects and the application of multivariate approximation since, in spite of its long tradition, many are open new problems like, for example,
how to choose appropriate sampling sets for a given situation so that computations become tractable and the information loss is minimal or within acceptable tolerance limits.

• Costanza Conti, Universita' di Firenze
• Stefano De Marchi, Universita' di Padova
• Elisa Francomano, University of Palermo

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Peer Reviewed

Graphical Models for Life Science

Graphical models are an elegant framework for describing complex systems of random variables. The nodes represent variables, while the edges represent relationships among variables, such as conditional independence.

Bayesian networks are direct acyclic graphs, while Markov networks are undirect graphs, both have undergone enormous development in the last decades.

Graphical models are helpful for the statistical analysis of data in various domains. Recently, they are becoming strategic for life science, allowing us to infer relations among variables such as genes/proteins/diseases/.

However, their use in life science opens novel challenges due to the amount and heterogeneity of the data.

• Claudia Angelini, Istituto per le Applicazioni del Calcolo (CNR)
• Daniela De Canditiis, Istituto per le Applicazioni del Calcolo (CNR)
• Italia De Feis, Istituto per le Applicazioni del Calcolo (CNR)

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Peer Reviewed

Modeling, Design Optimization and Control in Smart Grids

The main objective of the session is to inspect the mathematical methods/computational approaches to modeling, optimization and control of renewable energy sources to attain an optimized and a cost-effective solution in the context of smart grids. It emphasizes the theoretical background of research and development problems, both modeling and computational approches, covering all aspects which treat the following :

• Short term and long term load forecasting, electricity market forecasting, solar power forecasting, wind power forecasting (NN, NFIS, etc.)
• Multi-source systems optimization design (GA, SQP, Particle Swarm, Stochastic Optimization, etc.)
• Intelligent Energy management (EMS) (Fuzzy logic, Expert Systems, Game theory, etc.)
• Storage control and management (BMS),
• Operation of power system : unit commitment, hydro-thermal coordination, economic dispatch, congestion management, maintenance scheduling, state estimation, load and power flow, Remote monitoring, Power system automation, restoration, management, fault diagnosis, network security.

• Dhaker Abbes, L2EP, Yncrea HDF, Lille
• Benoit Robyns, L2EP, Yncrea HDF, Lille

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Peer Reviewed

Mathematical and Numerical Modelling of Porous Media in Subsurface Environments

Modeling of subsurface processes has a significant impact in many applications in agricultural, environmental and engineering context. These processes will be treated both in a physically based way, and in a data-driven fashion, always in the framework of porous media.
For instance, novel numerical methods will be considered, as well as machine learning techniques based on real-life data, and control approaches for managing irrigation will be faced in a theoretical framework and with a simulation point of view. Subsurface processes are characterized by high non-linearities and even discontinuities, sometimes memory terms in differential equations, mainly in advection-diffusion PDEs.
This session will bring together applied mathematicians and hydrologists studying applied flow and transport processes, to discuss novel modelling and numerical approaches for facing these difficulties.
In particular, contributions will span among new modeling approaches for describing root water uptake with memory terms, mass conservative numerical methods for transport equations, control techniques in unsaturated flow equations, data-driven approaches for salt transport in agricultural soils, heterogeneous reactions in porous media, etc.

• Marco Berardi, Istituto di Ricerca sulle Acque - Consiglio Nazionale delle Ricerche
• Fabio Difonzo, Università degli Studi di Bari
• Matteo Icardi, School of Mathematical Sciences University of Nottingham
• Mario Putti, Department of Mathematics University of Padova

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Peer Reviewed

MMSEP: Modelling, Methods and Simulations for Environmental Problems

Climate change and landscape degradation in the Earth’s Critical Zone are two of the most compelling issues our society must face daily. In recent years, the support of mathematics has firmly emerged as a valuable tool to understand, predict and possibly control such phenomena. The proposed Mini-Symposium aims at gathering scientists working at thedevelopment of mathematical models, computational methods and their applications to relevant environmental problems. Contributions are welcome from topics including (but not restricted to): Earth Observation based on data from remote sensors - Long Term Ecological Research on the structure and functions of ecosystems, oriented towards land degradation neutrality, Climate change impact on the Critical Zone, Biodiversity. - Diffusion of bacterial infections within plant species. Diffusion of invasive species within protected areas and agricultural areas. - Diagnostic and prognostic study of the Cryosphere (from alpine glaciers to polar sea-ice) - Pollutants Emission in urban freight transport versus delivery operational choices.

• Carmela Marangi, Istituto per le Applicazioni del Calcolo "M. Picone" , Consiglio Nazionale delle Ricerche, Bari
• Andrea Scagliarini, Istituto per le Applicazioni del Calcolo "M. Picone", Consiglio Nazionale delle Ricerche, Roma
• Luca Sgheri, CNR - IAC, Sede di Firenze
• Isabella Torcicollo, Istituto per le Applicazioni del Calcolo "M. Picone", Consiglio Nazionale delle Ricerche, Napoli

Open Submissions

Peer Reviewed

Computer Simulations in Digital Twins Technology

Digital twin technology is one of the fastest growing concepts of Industry and healthcare. In the simplest terms, a digital twin is a virtual replica of a real-world object/asset/product/device/process/service/system/environment that is run in a simulation environment to test its performance outcomes, issues and efficacy. Hence, the benefits of Digital Twins include: accelerated risk assessment and production time, predictive maintenance, real-time remote monitoring, better team collaboration and better financial decision-making. In healthcare Digital Twin technology is applied to art of body/mind and social health.

Digital twins are highly complex models that use computational simulations, artificial intelligence (AI), machine learning, CAD, imagery, Extended Reality (VR, AR and MR), large amount of digital and physical data and blockchain techniques along with all aspects of IoT (Internet of Things). Abstracts are invited in any of the key technology areas influencing the progress in Digital Twins development and applications. In particular, the areas associated with Computational Simulations methodologies and applications involved in Digital Twins technology, AI, XR and management of a very large-scale BIG Data are encourarged.

• Bharat Soni, Global Linkage Alliance (GLink), Al, USA

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Peer Reviewed

Numerical Methods for Fractional-derivative Differential Equations

At present the numerical solution of problems involving fractional-order derivatives is a "hot" research area; a search of the MathSciNet database using MSC Primary = 65 (numerical analysis) and Anywhere = "fractional derivative" yields 791 papers for the period 2018-2023.
Numerical analysts are interested in this topic because fractional derivatives are increasingly used in modelling applications and they are sufficiently different from classical integer-order derivatives so as to require new numerical methods; furthermore, the error analysis of these new methods can be challenging.

This minisymposium welcomes talks on numerical methods (finite differences, finite elements, spectral methods,...) for discretising fractional-derivative differential equations that pay some attention to rigorous error analysis. Because this research area is very active, it
is important that presenters of talks are familiar with recent developments. The organizers invite abstracts that show an awareness of current activity in the area and present some new development in the topic of the minisymposium.

• Roberto Garrappa, Università degli Studi di Bari, Italy
• Martin Stynes, Beijing Computational Science Research Center

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Peer Reviewed

Recent Trends in Numerical Methods for Evolutionary Problems

Several models in science, physics and engineering, are described by evolutionary systems of differential, integral and functional equations.
The purpose of the Mini-Symposium is to gather researchers interested in the development of innovative techniques for the numerical solution of a wide class of evolutionary problems, in several contexts. The MS will deal with issues related to the numerical solution of such equations, including, among others, multi-scale issues, asymptotic preserving schemes, high order discretization, structure preserving schemes and stability analysis.

• Sebastianno Boscarino, Università degli Studi di Catania
• Giuseppe Izzo, Università degli Studi di Napoli Federico II
• Eleonora Messina, Università degli Studi di Napoli Federico II
• Jie Shen, Purdue University

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Peer Reviewed

Nonlinear Dynamics for Economics, Finance and Social Sciences

• Fabio Tramontana, Università di Urbino

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Peer Reviewed

Modeling Human Perception of Visual Information

In everyday life, Machine Vision has made significant progress toward becoming more pervasive due to recent developments in artificial intelligence and computing capabilities. Despite the tangible and excellent results, the current Machine Vision techniques fall short of our expectations compared to the ease with which the Human Visual System (HVS) deals with complex scene analysis and abstraction. Thus, we are witnessing a growing interest in HVS-inspired approaches for developing more thoughtful and efficient visual information modeling and processing methods. The Mini-Symposium aims to bring together leading scientists to present their latest HVS-inspired practices and to establish new directions for future investigations and cooperation. We welcome contributions using tools including (but not restricted to): Applied Harmonic Analysis, Compression Methods, Geometric and Topological Techniques, Mathematical Morphology, Partial Differential Equations, Probabilistic and Statistical Methodologies, Interpolation Methods, Multiresolution Analysis, and Variational Methods for applications related to Signal and Image Processing, Pattern Recognition, and Visual Machine Learning.

• Giuliana Ramella, Istituto per le Applicazioni del Calcolo "M. Picone", Consiglio Nazionale delle Ricerche, Napoli

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Peer Reviewed

Recent Advances in Data Science. Computational Aspects and Applications

Developing models that will be used to address problems of great social impact based on the analysis and decision making (data-driven) is one of the main challenges facing the statistical scientific community at present. This fact together with the advances in computer technology and statistical software have caused that data science is changing rapidly in the last decades. This session aims to gather researchers to present advances in the relevant fields of statistics in order to foster a favourable environment to exchange information and open new collaboration lines.

• Christian Acal, Department of Statistics & O.R. & IMAG, University of Granada

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Peer Reviewed

New Trends in Phase Field: Theory and Applications

The phase field method is a powerful numerical method to solve moving boundary  problems appearing in Materials Science and Engineering. Its application covers from solidification of pure materials to crystal Modeling. Phase field theories are parameterized by a set of physically motivated variables that have a continuous spatial variation  between the equilibrium values of the phases which adjoin the interface.

Interfacial dynamics in complex fluids presents tremendous challenges  to science.  From a fluid mechanical viewpoint, the essential physics is the coupling between interfacial movement and the flow of the bulk fluids.  Phase field (diffuse-interface) methods start from a multi-scale point of view and treat the interface as a microscopic transition  zone of small but finite width. Then a set of governing equations  can be derived that are thermodynamically consistent and  mathematically well-posed.

This principle is very powerful and flexible.  It has been applied successfully to describe complicated interfaces in various complex fluids. Well designed numerical methods  with the diffuse-interface approach can be highly robust and accurate, as long as the interface is well resolved.  Phase field methods are now widely used in many branches of science and engineering, such as the material science, biomedical science, biology, chemical engineering.

This mini-symposium will bring together numerical analysts and computational scientists working on phase field methods  to present their recent advances in algorithm designs and applications  of phase field methods. The main purposes of this mini-symposium are to review the current status, identify problems and future directions,  and to promote phase field methods to a wider scientific and engineering community.

• Mejdi Azaiez, Institute Politecnique de Bordeaux
• Chuanju Xu, Xiamen University

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Peer Reviewed

Using Block Methods for Solving Differential Problems

• Higinio Ramos, Escuela Politécnica Superior de Zamora, Universidad de Salamanca, Campus Viriato, 49029 Zamora, SPAIN

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Peer Reviewed

Recent Advances on Numerical Methods for Functional Equations and Applications

Functional equations, in the univariate and multivariate cases, are models for many problems arising in a wide variety of real-life fields. The aim of this minisymposium is to present recent numerical methods for functional equations, from a theoretical and applicative point of view. Moreover, discussions on possible applications and future developments will be considered.

• Concetta Laurita, University of Basilicata
• Donatella Occorsio, University of Basilicata, Potenza Italy
• Maria Grazia Russo, University of Basilicata Department of Mathematics, Computer Science and Economics

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Peer Reviewed

TRIANGULATIONS, MESHING AND APPLICATIONS

Meshing and Triangulation are used today in many area as Graphics, Engineering simulations, and Modelling. Nowadays discrete geometry of meshes and triangulation is the key to understand huge advances in fields as physics, mathematics and engineering.

In science and engineering applications, triangular, quadrilateral and polyhedral meshes in both 2D and 3D are commonly used for Finite Element and Volume Analysis, Computational Geometry, CAD, Surface and Solid Modelling, Parametric, Adaptive mesh refinement, Constraint-based and Feature Modelling, discretization and Engineering Simulations, Meshing for High-Performance and Distributed Computing, Algorithms and neural networks methods in discretizations. Contributions may also cover theoretical aspects of Meshing and Triangulation.

Although main topics could cover construction of quality triangulations of simplices in n dimensions authors are invited to send contributions with focus in the research and development of Delaunay and optimal methods, Mesh Generation and post-processing, n-dimensional subdivision methods, smoothing and optimization among others.

• Miguel Padron, University of Las Palmas de Gran Canaria, Spain
• Jose Pablo Suarez Rivero, University of Las Palmas de Gran Canaria

Open Submissions

Peer Reviewed

Linear and Nonlinear Models in Applied Mathematics

This session is devoted to recent results concerning applicative problems modelled via differential and/or integro-differential equations. Contemporary challenges raised by current advances in engineering, applied science and industry involve mathematical models which are more and more sophisticated. Indeed, new materials, such as materials with memory, bio- materials or materials in which micro or nano particles are injected to change their mechanical or thermal response to external actions. Viscoelastic, magneto-viscoelastic and thermo-viscoelastic bodies are only few examples of materials that are deserving a growing interest both under the theoretical as well as the applicative point of view.
The session aims to bring together researchers who are all investigating linear and nonlinear models in applied mathematics under different viewpoints to, possibly, encourage their interaction to find new results and perspectives via the contamination among their different methodological approaches. Advances in theoretical problems concerning mathematical modelling in differential equations along with results of current interest in applications are welcome.

• Sandra Carillo, Dip. di Scienze di Base e Applicate per l'Ingegneria, University of Rome "LA SAPIENZA"
• Galina Filipuk, University of Warsaw
• Federico Zullo, Università di Brescia

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Peer Reviewed

Recent Problems and Methods in Computational Finance

In this minisimposium, some recent advances in the mathematical methods and computational techniques to solve a variety of problems arising in quantitative finance will be presented. These advances are mainly related to the mathematical modelling, mathematical analysis of the models, different appropriate numerical methods to solve them and also efficient computational techniques. Among the addressed financial problems, there are some related to option pricing, valuation adjustments related to counterparty risk, insurance products valuation, climate risk, equilibrium under heterogeneous economic agents, etc. Mathematical models are formulated in terms of partial (integro-) differential equations, backward stochastic differential equations, expectations, etc. Numerical methods involve probabilistic techniques, finite differences and finite elements, Monte Carlo based techniques, Picard iterations for nonlinear models or deep and machine learning techniques, for example.

• Karel in't Hout, University of Antwerp
• Carlos Vázquez Cendón, University of A Coruña

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Peer Reviewed

Nonlinear waves

This session will focus on computational and theoretical aspects of nonlinear wave phenomena. Interdisciplinary aspects of the subject will be emphasized, as well as the interaction between computation, theory and applications.

• Thiab Taha, University of Georgia, USA

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Peer Reviewed

Adapted Time-integrators for Differential and Integral Problems with Applications

• Angelamaria Cardone, Department of Mathematics
• Dajana Conte, Department of Mathematics, University of Salerno, Italy
• Severiano Gonzalez Pinto, Universidad de la Laguna
• Beatrice Paternoster, Department of Mathematics, University of Salerno, Italy

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Peer Reviewed

Recent Trends on Numerics of Singularly Perturbed Differential Equations

Singularly perturbed differential equations arise in various areas of science and engineering, including fluid dynamics, elasticity, chemical reactor theory, etc. It is too difficult to obtain the numerical approximate solutions of these problems by using classical finite difference, finite element, and finite volume methods, because of the presence of boundary layers. Devising efficient numerical methods to solve singularly perturbed differential equations is one of the big challenges and it has attracted several researchers for the past few decades.

The main idea of this mini-symposium is to provide a platform to the researchers working in this area to share their latest research contributions and to discuss the future directions towards solving these problems.

• Natesan Srinivasan, Indian Institute of Technology Guwahati

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Peer Reviewed

Single-scale and Multi-scale Modelling: Applications to Ecology, Cell Biology and Medicine

The advances in various technologies over the past few years have led to the collection of an enormous amount of data in ecology, cell biology and medicine: from the behaviour of cells and molecules (in the context of health and disease), to the behaviour of animals and their interactions with the environment. To make sense of this data, and to understand the complex biological and ecological processes associated with this data, researchers have been using a variety of approaches: from deterministic and stochastic modelling approaches combined with numerical simulations, to artificial intelligence approaches. This event will bring together researchers focusing on mathematical and statistical modelling of various biological, ecological and medical phenomena, with the goal of summarising some of the recent advances in the field and discussing the new open problems.

• Zeina Al Masry, FEMTO-ST institute, Besançon
• Raluca Eftimie, University of Franche-Comte, Besancon
• Antoine Perasso, University of Franche-Comte, Becanson
• Ezio Venturino, Univ di Torino

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Peer Reviewed

Recent Advances in Lattice Boltzmann Methods

The lattice Boltzmann method (LBM) has become a powerful tool in computational fluid dynamics. A straightforward explicit stream and collide algorithm, ease of parallelization and natural handling of complex geometries have led to the development of a large number of mathematical models within the LBM framework. On the other hand, heterogenous resolution requirements, complex equations of state or subscale models, e.g., for turbulence, are usually more difficult to combine with the mesoscopic LBM than with traditional Navier-Stokes-based fluid solvers. This mini-symposium will bring together researchers working on and with the LBM in the widest sense and include contributions in the development of new lattice Boltzmann type schemes and models as well as advanced engineering applications.

• Ralf Deiterding, University of Southampton

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Peer Reviewed

Mathematics of Emerging and Re-emerging Human Infectious Diseases of Major Public Health Importance

This session focuses on mathematical modeling, reliable numerical methods and simulations based on real data for emerging and re-emerging human infectious dideases of major public health importance. The aim is to provide adequate responses regarding the trassmission dynamics, control, mitigating interventions and, possibly, eradication of these diseases.

• Jean Lubuma, University of the Witwatersrand

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Peer Reviewed

Biomedicine Meets Numerics: Advanced Numerical Methods for New Challenges

Diagnosis and treatment techniques in biomedicine are becoming increasingly sophisticated. Advanced mathematical methods are essential for their development. This session aims to show how numerics has become an indispensable tool for the development of innovative methodologies for biomedical devices.

The participation to this session is open to all interested colleagues.

• Cristina Campi, Dipartimento di Matematica "Tullio Levi-Civita", Università degli Studi di Padova
• Francesca Pitolli, Dipartimento di Scienze di Base e Applicate per l'Ingegneria, Universita` di Roma La Sapienza

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Peer Reviewed

Delay Differential Equations and Applications

This session includes presentations concerning the applications of delay differential equations in areas ranging from biology, epidemiology and neurosciences, to population dynamics and economy. Interdisciplinary collaborations are welcome, as are recent advances in both discrete and continuous techniques, with special emphasis on mathematical models involving distributed time delays. This special session offers a dynamic platform for discussions, fostering collaboration and exchange of ideas among mathematicians, physicists, biologists, and engineers, among others.

• Eva Kaslik, West University of Timisoara
• Mihaela Neamtu, West University of Timisoara

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Peer Reviewed

Publishing Ethics

• Rosa Maria Spitaleri, IAC-CNR, Rome

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Peer Reviewed